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Can Bayesian Priors Keep Models Simple? | PC Priors Explained
How do you build Bayesian models that are flexible, but don’t overcomplicate things when the data doesn’t call for it? In this short clip, Alex Andorra and Dr. Matthijs Hollanderes talk about penalized complexity priors - a clever way to let a model stay simple when possible, while still giving it room to adapt when the data demands it. The ...
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